Automatic verification of parent-child pairs from face images

Abstract

The automatic identification of kinship relations from pairs of facial images is an emerging research area in pattern analysis with possible applications in image retrieval and annotation, forensics and historical studies. This work explores the computer identification of pairs of kins using different facial features, based on geometric and textural data, and state-of-the-art classifiers. We first analyzed different facial attributes individually, selecting the most effective feature variables with a two stage feature selection algorithm. Then, these features were combined together, selecting again the most relevant ones. Experiments shows that the proposed approach provides a valuable solution to the kinship verification problem, as suggested by the comparison with a different method on the same data and on the same experimental protocol. © Springer-Verlag 2013.